Francesco Cangemi

65 total papers · 647 total citations
31 papers, 256 citations indexed

About

Francesco Cangemi is a scholar working on Experimental and Cognitive Psychology, Language and Linguistics and Cognitive Neuroscience. According to data from OpenAlex, Francesco Cangemi has authored 31 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Experimental and Cognitive Psychology, 9 papers in Language and Linguistics and 8 papers in Cognitive Neuroscience. Recurrent topics in Francesco Cangemi's work include Phonetics and Phonology Research (15 papers), Linguistic Variation and Morphology (6 papers) and Language Development and Disorders (6 papers). Francesco Cangemi is often cited by papers focused on Phonetics and Phonology Research (15 papers), Linguistic Variation and Morphology (6 papers) and Language Development and Disorders (6 papers). Francesco Cangemi collaborates with scholars based in Germany, France and Italy. Francesco Cangemi's co-authors include Martine Grice, Stefan Baumann, Kai Vogeley, Mariapaola D’Imperio, Lou Boves, Valeria Lucarini, Oliver Niebuhr, Carlo Marchesi, Matteo Tonna and Juliane Zimmermann and has published in prestigious journals such as PLoS ONE, Psychiatry Research and Journal of Pragmatics.

In The Last Decade

Francesco Cangemi

30 papers receiving 235 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francesco Cangemi 165 98 86 83 52 31 256
Danielle Duez 212 1.3× 71 0.7× 118 1.4× 96 1.2× 59 1.1× 26 313
Stephen G. Lambacher 153 0.9× 84 0.9× 78 0.9× 57 0.7× 61 1.2× 24 279
Johan Frid 128 0.8× 35 0.4× 77 0.9× 52 0.6× 93 1.8× 54 250
Michelina Savino 227 1.4× 135 1.4× 139 1.6× 137 1.7× 26 0.5× 34 296
Emmanuel Ferragne 170 1.0× 99 1.0× 86 1.0× 44 0.5× 42 0.8× 34 262
Mária Gósy 141 0.9× 37 0.4× 71 0.8× 52 0.6× 51 1.0× 44 227
Jörg Peters 211 1.3× 132 1.3× 91 1.1× 132 1.6× 38 0.7× 36 273
Bárbara Gili Fivela 250 1.5× 143 1.5× 132 1.5× 159 1.9× 25 0.5× 31 329
Dicky Gilbers 141 0.9× 63 0.6× 54 0.6× 81 1.0× 86 1.7× 34 292
Mélissa Barkat-Defradas 110 0.7× 23 0.2× 43 0.5× 26 0.3× 46 0.9× 38 239

Countries citing papers authored by Francesco Cangemi

Since Specialization
Citations

This map shows the geographic impact of Francesco Cangemi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Cangemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Cangemi more than expected).

Fields of papers citing papers by Francesco Cangemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Cangemi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Cangemi. The network helps show where Francesco Cangemi may publish in the future.

Co-authorship network of co-authors of Francesco Cangemi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cangemi. A scholar is included among the top collaborators of Francesco Cangemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Cangemi. Francesco Cangemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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